AI-supported Information Management in One-off Production.

被引：0

作者：

Jagusch K. ^{[1
]}

Gerds P. ^{[2
]}

Knitter L. ^{[2
]}

Sender J. ^{[3
]}

Flügge W. ^{[4
]}

机构：

[1] Fraunhofer-Institut für Großstrukturen in der Produktionstechnik IGP, Albert-Einstein-Str. 3, Rostock

[2] Fraunhofer IGP, Rostock

[3] Lehrstuhl Produktionsorganisation und Logistik, Universität Rostock

[4] Lehrstuhl Fertigungstechnik, Universität Rostock

来源：

ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2023年 / 118卷 / 11期

关键词：

Artificial Intelligence; Human-in-the-Loop; Information Management; One-off Production;

D O I：

10.1515/zwf-2023-1148

中图分类号：

学科分类号：

摘要：

Companies are currently facing a shortage of skilled workers in the future. This shortage will be exacerbated by demographic change. It is therefore more important to preserve the knowledge of experienced employees and to use it efficiently. The approach outlined here describes a way to process captured data with the help of artificial intelligence and use it for new orders. This is a step forward compared to the current status quo, as the application is presented in the context of one-off production. The paper shows the theoretical approach as well as the associated challenges in practical use. © 2023 Walter de Gruyter GmbH, Berlin/Boston, Germany.

引用

页码：812 / 815

页数：3

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